1 citations
3 papers
cs.RO2021★ 1 cited
Learned Uncertainty Calibration for Visual Inertial Localization
Stephanie Tsuei, Stefano Soatto, Paulo Tabuada +1
The widely-used Extended Kalman Filter (EKF) provides a straightforward recipe to estimate the mean and covariance of the state given all past measurements in a causal and recursiv…
astro-ph.IM2021
Guest Editorial: Overview of the Special Issue and a Dialog on Starshades
Jonathan Arenberg, Anthony Harness, Rebecca Jensen-Clem
This special issue is dedicated to starshades: science, engineering, technology and programmatics. Our reasons for organizing this special issue are several fold. First as a new te…
math.ST2006★ 1 cited
Untangling the SVD's of Random Matrix Sample Paths
D. W. Browne, M. W. Browne, M. P. Fitz
Singular Value Decomposition (SVD) is a powerful tool for multivariate analysis. However, independent computation of the SVD for each sample taken from a bandlimited matrix random…